Extracting mined ore, minerals or other materials using sensor-based sorting

ABSTRACT

A method of analyzing minerals received within a mining shovel bucket includes collecting data associated with ore received in the bucket, where the bucket includes at least one active sensor, where the ore includes one or more mineral, and where the ore is within a field of the active sensor. The method further includes determining a content of the minerals using the data, transmitting information relating to the content of the minerals to a decision support system, and sorting or processing the ore based on an output of the decision support system. Collecting data associated with the ores may include generating source signals, applying the source signals to the active sensor, collecting a response from the active sensor, and comparing the response with a reference or threshold. Other features are disclosed.

CROSS-REFERENCE TO RELATED APPLICATION(S)

This application is a continuation of U.S. Non-provisional applicationSer. No. 14/584,654, filed on Dec. 29, 2014, entitled Extracting MinedOre, Minerals Or Other Materials Using Sensor-Based Sorting, which is acontinuation of U.S. Non-provisional application Ser. No. 13/538,931,filed on Jun. 29, 2012, entitled Extracting Mined Ore, Minerals Or OtherMaterials Using Sensor-Based Sorting, which claims the benefit of U.S.Provisional Application No. 61/502,760, filed on Jun. 29, 2011, entitledHigh Frequency Electromagnetic Spectrometer and U.S. ProvisionalApplication No. 61/502,772, filed on Jun. 29, 2011, entitled Method forthe Pre-concentration of Mineral Ores, which are all hereby incorporatedby reference for all purposes in their entirety.

BACKGROUND

After materials are mined from the ground, portions of the material thathave no beneficial use or value are typically separated or extractedfrom the portions that have beneficial use or value.

In the extraction of the valuable fractions from value-bearing mineralores, the first step in beneficiation is generally comminution to fineparticle sizes prior to extraction of the fine valuable fractions fromthe gangue material by means of froth flotation or lixiviation, forexample. An alternative treatment, prior to conventional methodsdescribed, is ore sorting, where gangue material is detected by means ofelectronic sensors and removed from the value-bearing mineral ore atcoarse particle sizes by physical means. Currently, there are variousmethods of sorting ore. In some examples, valuable fractions may berecovered from the ore stream by means of electronic sensors. Inpractice, this method results in unacceptable loss of valuable fractionsdue to lack of sensitivity in current electronic sensors. Furthermore,low capacity of these sorters unacceptably reduces the rate at which thevaluable material can be extracted and processed.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a method of extracting materials;

FIG. 2 illustrates a system for extracting materials;

FIG. 3 is a block diagram of a sensor system that may be used in methodsand systems for extracting materials;

FIG. 4 is a signal flow diagram illustrating circuitry of a sensor thatmay be used in the methods and systems for extracting materials;

FIG. 5 illustrates a coil and coil housing that may be used in methodsand systems for extracting materials;

FIG. 6 illustrates a plan and section view of coil array and coil arrayhousing that may be used in methods and systems for extractingmaterials;

FIG. 7 is a diagram of control electronics and digital signal processingsystem enclosure that may be used in methods and systems for extractingmaterials;

FIG. 8 illustrates one embodiment of a hydraulic mining shovel that maybe used in methods and systems for extracting materials;

FIG. 9 illustrates one embodiment of a conveyor belt system that may beused in methods and systems for extracting minerals;

FIG. 10 illustrates an embodiment of a sorting system that may be usedin methods and systems for extracting materials;

FIG. 11 illustrates an embodiment of a sorting system that may be usedin methods and systems for extracting materials, and

FIG. 12 illustrates a coil array that may be used in methods and systemsfor extracting materials.

The drawings have not necessarily been drawn to scale. For example, thedimensions of some of the elements in the figures may be expanded orreduced to help improve the understanding of the embodiments of thepresent invention. Similarly, some components and/or operations may beseparated into different blocks or combined into a single block for thepurposes of discussion of some of the embodiments of the presentinvention. Moreover, while the invention is amenable to variousmodifications and alternative forms, specific embodiments have beenshown by way of example in the drawings and are described in detailbelow. The intention, however, is not to limit the invention to theparticular embodiments described. On the contrary, the invention isintended to cover all modifications, equivalents, and alternativesfalling within the scope of the invention as defined by the appendedclaims.

DETAILED DESCRIPTION

Various embodiments of the present invention generally relate toextracting materials, particularly mineral ores. More specifically,various embodiments of the present application relate to extractingmaterials using sensor-based sorting. More particularly, methods andsystems for increasing the value and reducing the mass of materialdelivered to the beneficiation process through the application ofsensor-based sorting are described. In some embodiments, the materialsare minerals and mineral ores; however, embodiments of the presentinvention may be used in sorting other materials.

The minerals are extracted by using sensor-based methods and systems,which may be applied to large quantities of high-value or low-value ore,and achieve a high degree of value recovery at a high throughput and lowcost. The methods and systems include various stages of sorting. In someembodiments, the sorting process uses electromagnetic sensing by inducedpotential, specifically for the evaluation of the conductive and/ormagnetic content in the mineral samples. The sensors may be arbitrarilyscaled and oriented, allowing the sensors to be coupled to shovels andother types of mining equipment. Using the methods and systemsdescribed, reports relating to the minerals, such as the content orquality of the mineral ore, can be generated very rapidly, for instance,at millisecond intervals or faster. Additionally, the systems andmethods allow for high levels of discrimination (e.g., 0.05% in Nickel(Ni) and 0.1% in Copper (Cu)) and accuracy (e.g., of the order of 0.05%for Cu and Ni).

Various examples of the invention will now be described. The followingdescription provides certain specific details for a thoroughunderstanding and enabling description of these examples. One skilled inthe relevant technology will understand, however, that the invention maybe practiced without many of these details. Likewise, one skilled in therelevant technology will also understand that the invention may includemany other obvious features not described in detail herein.Additionally, some well-known structures or functions may not be shownor described in detail below, to avoid unnecessarily obscuring therelevant descriptions of the various examples.

The terminology used below is to be interpreted in its broadestreasonable manner, even though it is being used in conjunction with adetailed description of certain specific examples of the invention.Indeed, certain terms may even be emphasized below; however, anyterminology intended to be interpreted in any restricted manner will beovertly and specifically defined as such in this Detailed Descriptionsection.

Method of Extracting Materials

FIG. 1 illustrates a method 100 of extracting materials, such as mineralores. In some embodiments, streams of materials or mineral ores may betransported using one or more conveyor belts, vibratory feeders, miningshovels, scoop-trams, or other mechanisms. Mineral ore streams may bediverted by means of alternative disposition of the mechanism itself(e.g., the shovel) or by means of diverters on the mechanism. In someembodiments, sensors are used to determine the grade of a mineral orestream and decide which way to divert it. For instance, the content ofan individual ore-bearing rock being transported on a conveyor belt maybe determined by a high-frequency electromagnetic sensor to be below orabove an arbitrary cutoff value and diverted, accordingly, to the wastepile or the process queue, respectively. Sensor types includeelectromagnetic, laser breakdown, X-ray fluorescence, gamma and othersensor types used in the sorting of materials or mineral ores. In someembodiments, one or more high frequency electromagnetic spectrometers(“HFEMS”) may be used. These mechanisms are shown in other figures anddescribed herein.

In block 110, mineral ores are collected by means of a mining shovel orscoop-tram or other arrangement known in the art. The mineral ores maybe collected from a stockpile or bench or other arrangement known in theart.

In block 120, the mineral ores are classified into streams based ongrade. The classification may be done for various sample sizes. Grade ofthe value-bearing mineral ores may be determined by electromagneticsensing, for example, which is described in further detail below. Insome embodiments the streams include lower-grade, higher-grade, andwaste streams. The higher-grade streams contain ore with a higher gradethan the material in the lower-grade stream and the lower grade streamhas a higher grade than the material in the waste stream. Theclassification may be determined by pre-set values, e.g., based on aselected threshold such as a percentage of an element within the mineralore. Any mineral ore with a content value higher than a pre-set valuewill be classified as higher-grade. The streams may be diverted by meansof diversion using the mining shovel bucket or scoop-tram bucket itself,or by belt conveyor in conjunction with a diverter gate or mechanicalflaps or compressed air ejector mechanisms. In some embodiments, themineral ores are classified using sensors on a mining shovel,scoop-tram, or belt-conveyor.

In block 130, after the classifying, the lower grade and higher gradestreams are prepared for sorting. In some embodiments, preparing forsorting includes coarse crushing and size classification. In someembodiments, the size classification may be wet size classification. Insome embodiments, the preparation further includes dividing thehigher-grade and the lower-grade streams into sub-streams based onparticle size for improved sorting performance.

In block 140, the larger particle size stream of the higher-grade streamis sorted into groups based on grade. The groups may include ahigher-grade group and a lower-grade group. The values of the gradesused to determine the groupings may include pre-set values.

In block 150, the lower-grade subgroup of the larger-particle size groupof the higher-grade stream is combined with the larger particle sizesubgroup of the lower-grade group.

In block 160, the combined group of block 150 is sorted into subgroupsincluding a higher-grade subgroup and a lower-grade subgroup. The groupsmay be determined by preset grade values, or the groups may be based onvalues determined during the sorting process.

System for Extracting Materials:

FIG. 2 illustrates a system 200 for extracting materials. In accordancewith embodiments of the invention, a system for extracting materials mayinclude a primary sensing and diversion mechanism, feed preparationsystem, higher-grade sorter systems, lower-grade sorter systems, wastehandling system, and product handling system. System 200, includes ore202, mining shovel, scoop-tram or similar device 204, sensor or devicefor sensing 206, waste stream 208, waste pile 210, higher-grade stream212, coarse crusher 214, and screen 216. The system also includessmaller particle size substream 218 of the higher-grade stream 212,final product stream 220, final product pile 222, and larger particlesize substream 224 of the higher-grade stream 212. Further, the systemincludes lower-grade substream 226 of the larger particle size substream224 of the higher-grade stream 212, higher-grade sorter system 228,combined stream 230, higher-grade substream 234 of the larger particlesize substream 224 of the higher-grade stream 212, lower-grade stream236, lower-grade coarse crusher 238, lower grade sizing screen 240,smaller particle size substream 242 of the lower-grade stream 240,larger particle size substream 232 of the lower-grade stream 236,lower-grade sorter system 244, lower-grade substream 246 of the combinedstream 230, higher-grade substream 248 of the combined stream 230,higher-grade stream sensor 260, higher-grade stream sorter 250,lower-grade stream sensor 252, and lower grade stream sorter 254.Various embodiments include some or all of these components.

In one embodiment of system 200 in operation, ore 202 from a bench inthe mine or from a stockpile is collected by mining shovel or scoop-tram204. Variations of the particular mining shovel or scoop tram provideequivalent methods of mounting the invention, and as such, the inventionis not limited to one specific arrangement of mining shovel. The bucketof the mining shovel or scoop-tram 204 may be fitted with a spectrometeror other sensor type 206 for the sensing of the ore composition in thebucket. In a different embodiment, a bucket may scoop the ore onto aconveyor belt equipped with sensors to perform spectrometry as the oremoves along the belt. Variations of the particular spectrometer or othersensor type provide equivalent methods of mounting the invention, and assuch, the invention is not limited to one specific arrangement ofspectrometer or other sensor type.

The composition of the mineral contained in the bucket as measured bythe spectrometer or other sensor type 206 is compared to a pre-set valueand a decision is made by the operator or made automatically by acomputer or other signal or data processing device. The system divertsor sends mineral content below a certain pre-set value to a waste stream208. As shown, waste stream 208 is diverted to a waste pile 210. Incontrast, the system passes minerals of a content above a certainpre-set value to a higher-grade stream 212. As shown, the higher-gradestream 212 is passed to a feed preparation system comprising ahigher-grade stream coarse crusher 214 and higher-grade sizing screen216. Variations of the particular crusher and sizing screen provideequivalent methods, and as such, the invention is not limited to onespecific arrangement of crusher or sizing screen.

The system passes material previously determined to be below a certainparticle size from the higher-grade stream sizing screen 216 to smallerparticle size substream 218. Smaller particle size substream 218 of thehigher-grade stream 212 is passed directly to the final product stream220, and delivered to the final product pile 222. Material above acertain particle size is passed to the larger particle size substream224 of the higher-grade stream 212. The larger particle size substream224 is passed to the higher-grade sorter system 228. The higher-gradesorter system 228 uses sensor 260 and higher-grade stream sorter 250 tosort the larger particle size substream 224 into a lower-grade substream226 and a higher-grade substream 234 based on grade, where thelower-grade substream has a lower grade than the higher grade substream.The lower-grade substream 226 is combined with the larger particle sizesubstream 232 of the lower-grade stream 236, and delivered to thecombined stream 230. Higher-grade substream 234 is passed to the finalproduct stream 220, or the minerals are directly passed to the finalproduct pile 222. Variations of the particular mineral sorter provideequivalent methods, and as such, the invention is not limited to onespecific arrangement of mineral sorter.

Returning now to the scoop tram or mining shovel 204, low-grade materialbetween the lower pre-set value and the upper pre-set value is passed tolower-grade stream 236. Lower-grade stream 236 is passed to the feedpreparation system comprising coarse crusher 238 and sizing screen 240.Variations of the particular crusher and sizing screen provideequivalent methods, and as such, the invention is not limited to onespecific arrangement of crusher or sizing screen. Material below acertain particle size previously determined is passed to a smallerparticle size substream 242. The smaller particle size substream 242 ispassed directly to the final product stream 220. Material above acertain particle size is passed to a larger particle size substream 232.The larger particle size substream 232 is combined with the largerparticle size substream 226 to form combined stream 230. The combinedstream 230 is passed to the lower-grade mineral sorter system 244. Thelower-grade mineral sorter system 244 sorts the minerals into alower-grade substream 246 and a higher grade substream 248 using sensor252 and lower-grade stream sorter 254. The lower grade substream 246 ispassed to the waste pile 210. The higher-grade substream 248 is passedto the final product stream 220. Variations of the particular mineralsorter provide equivalent methods, and as such, the invention is notlimited to one specific arrangement of mineral sorter.

The high-grade mineral sorter system 228 comprises a higher grade streamsensor 260 and a higher grade stream sorter 250. The composition of thelarger particle size substream 224 is measured by the higher gradestream sensor 260. The higher grade stream sensor 260 passes informationrelating to the composition of incoming feed material to the highergrade stream sorter 250 in order to set an appropriate value for thelower-grade substream 226 cutoff. The contents of the lower gradesubstream are rejected and combined with the large particle sizesubstream 232 of the lower-grade substream 236 to form the combinedstream 230. The contents of the higher-grade substream 234 are passed tothe final product stream 220.

The low-grade mineral sorter system 244 comprises a lower grade streamsensor 252 and a lower-grade stream sorter 254. The combination of thelarger particle size substream 232 and the lower grade stream 226 of thelarger particle substream 224 of the higher grade stream 212 passed tothe lower-grade stream sorter 254 is measured by the lower-grade streamsensor 252. The lower grade stream sensor 252 passes informationrelating to the composition of the feed material to the lower gradestream sorter 254 in order to set an appropriate value for the wasterejection cutoff. Valuable material above the cutoff is accepted andpassed to the final product stream 220 via the higher grade substream248. Material rejected by the low-grade sorter 254 enters lower-gradesubstream 246, where it is passed to the waste pile 210.

The various streams shown and described in FIG. 2 are examples. Otherstreams are contemplated, as well as the combination of certain streams.For example, the streams that feed into the final product stream 220could bypass the final product stream 220 and go straight to the finalproduct 222.

Sensor System Details:

FIG. 3 is a block diagram of a sensor system that may be used in methodsand systems for extracting materials. The sensor system 300 may be usedin the high grade and low-grade sorter systems, for example, or thesensor system may be used in connection with other mining equipment suchas a mining shovel or a conveyor belt system.

Referring to the components of sensor system 300, in the signalconditioning electronics 310, the output of a waveform generator 315,such as a user-selected multi-frequency arbitrary waveform, isconditioned and applied to a balanced bridge network 320, comprisingactive sensors (coils or an array of coils) 330, a reference sensor 335and bridge circuitry 322. The output of the arbitrary waveform generator315 is controlled by a data processor, such as an industrially hardenedcomputer 340, although any computer, microcontroller, data processor orlogic may be employed. The bridge network output signal 325, which isthe output from the bridge network 320 is sent through additional signalconditioning electronics 310 and is digitized by analog to digitalconverter 350. The captured data is processed and analyzed by a computersoftware program 360, running on an industrially hardened computer 340.The computer software 360 converts the bridge network output signal 325into response data, and generates a control and data output 370 based onthe value of the response data. A regulated DC power supply 380 providespower to the integrated circuits in the signal conditioning electronics310, and the industrially hardened computer 340. The dashed linesindicate one arrangement of the components; an industrially hardenedcomputer 340, with analog to digital converter 350, a signal generationand signal conditioning circuit including a bridge network 320 of one ormore active sensors 330 and a reference sensor 335; data output hardware370, and a DC power supply 380. The industrially hardened computeranalog to digital converter and data output are housed in a protectiveenclosure 390. Bridge network sensors and electronics 320 are housed ina sensor chassis.

The signal conditioning electronics 310 may be designed into fullyfunctional modular units comprising a microcontroller, a waveformgenerator 315, which may be an arbitrary waveform generator, and a poweramplifier; the bridge network 320 comprises bridge electronics withfilter and gain stages integrated with the sensor array. Multiplemodules can be combined to increase the number of sensor arrays in asystem. The industrially hardened computer controls operation of thesignal conditioning electronics circuit and generates output data basedon the signal of each individual sensor. The output of waveformgenerator 315 may be selected and/or tuned based on testing or empiricalanalysis of minerals to be detected. Waveform types and frequencies, andall amplifier gain stages are controlled by the microcontroller and areuser-selectable through the industrial hardened computer. The arbitrarywaveform generator 315 is capable of producing user-selectable arbitrarywaveforms, including single frequency signals of specifiable shape,amplitude and frequency, composite signals of multiple frequencies,frequency sweep signals with specifiable range, and DC signals. Variablegain amplifiers before and after the bridge network 320 allow forcontrol of signal levels. The generated waveform is then conditioned todrive the bridge network, and the bridge output is then conditioned todrive the analog to digital converter.

The balanced bridge network 320 comprises an array of multiple sensingcoils 330 used to examine samples, and in at least one embodiment, areference sensor 335 used as a reference to the sensing coils. Thereference sensor 335 may include coils and is used to balance the bridgenetwork. In some embodiments, there is more than one reference sensor.For example, there may be one reference sensor per array of sensingcoils. The reference sensor 335 is subject to the same electrodynamicenvironment as the sensing coils 330, but is kept physically isolatedfrom the mineral stream to be examined. In the presence of mineralsamples of metallic content, the impedance of a sensing coil 330 nolonger matches that of the reference sensor 335. This impedance changeunbalances the bridge network, producing a voltage signal of magnitudeand phase related to the change in resistive and reactive components ofthe sensing coil impedance. In some embodiments, multiple arrays ofcoils can be used, in which each array has one or more sensor coils andat least one reference sensor.

The unbalanced signals from each sensing coil 330, along with areference of the excitation signal from the reference sensor 335 aresent back through the signal conditioning electronics 310, where theyare conditioned for output to the analog to digital converter 350. Theanalog to digital converter 350 is capable of real-time, orsubstantially real time, data streaming into the industrially hardenedcomputer and is used to digitize the sensor output signals for analysisby the software program 360. Depending on the type of sample examined,and the nature of the input signal, the sensors may produce anunbalanced signal with a change in magnitude only or a combination ofmagnitude and phase changes for each frequency of excitation. Signalscaptured thus from the bridge network undergo Fast Fourier Transformoperations to extract and analyze spectral information from the sensors.The change in the individual impedance of each active sensing coil 330is then calculated. From this impedance value the quantity of conductiveand magnetic material in the media or sample present over each sensor iscalculated. Data relating to the value of conductive and magneticmaterial in the samples present over each sensor is then transmitted toexternal devices by the industrially hardened computer. Depending on theapplication, this data can be individual sensor response values, orinstructions to an external device based on comparison of individualsensor response values to a user-defined setpoint. In some embodiments,only differences in impedance between individual active sensors in thearray and the reference sensor are of use in the system. Although onlyone reference sensor is shown in FIG. 3, numerous reference sensors maybe used.

The power supply 380 is a common component with internal operations,with the purpose of providing a DC voltage as required by integratedcircuits in the signal conditioning electronics 310, and theindustrially hardened computer 340.

Overall, while one form of sensor, its arrangement and circuitry aredescribed herein, many others are possible. Various sensors may be usedin connection with extracting materials, including sensors described inCIPO 2629408, which is hereby incorporated by reference for all purposesin its entirety.

Sensor System Operations:

The following is a description of one embodiment of a sensor system.Other types of sensors and sensor systems are contemplated. For example,sensor types may include, but are not limited to electromagnetic, laserbreakdown, X-ray fluorescence, and gamma. Alternative embodiments usingHFEMS is contemplated where the analog to digital conversion takes placenot in a general purpose computer but at or near the bridge network.

Referring to the embodiment shown in FIG. 3, in operation, the sensingcoils 330 each produce a static field in the surrounding environmentwhen excited by a DC current, and a dynamic field in the surroundingenvironment when excited by an alternating current, related in frequencyand strength to the signal from the signal conditioning electronics 310.Samples are placed on or passed over the active sensors 330. The sensingcoil field completely penetrates the sample, immersing conductive,magnetic and paramagnetic media contained in the sample within thesensing coil field. Electric currents are thus induced in theconductive, magnetic or paramagnetic material present in the samplespassing through the sensing coil field 330. These currents generatemagnetic fields with strength in respect to the amount of conductivematerial in the sample, which in turn generate counter-currents in thecoil, changing the impedance of the coil-conductor system as seen acrossthe coil 330. This change in impedance unbalances the bridge network 320with respect to the reference sensor 335, and changes the bridge networkoutput signal 325. For the sensing of magnetic or paramagnetic material,the sensors are excited by a direct current (DC). Magnetic materialpassing through or present within the sensor field alters the impedanceof the coil 330, altering the current passing through the coil. Thischange in impedance in the sensing coil 330 changes the bridge networkoutput signal 325 with respect to the reference sensor 335. Thereference sensor 335 is not exposed to conductive or magnetic material.Output signals from the bridge network are captured by the analog todigital converter 350. Signals thus captured undergo Fast FourierTransform in the analog to digital converter 350 to extract and analyzespectral information. The magnitude and phase components of the changein the individual impedance of each sensing coil 330 are calculated forthe AC case. The change in the individual impedance of each sensing coil330 is also calculated for the DC case.

For initial calibration, the actual content of conductive and magneticmaterial in a sample is measured by chemical assay. The actual contentof conductive and magnetic material as measured by chemical assay isthen correlated to the spectral output of the sensors. The actualcontent of similar material passing over the sensors can then bedetermined directly by the system. The instantaneous and time-averagedmeasure of metallic content as determined by each coil 330 iscommunicated to other devices via the data output hardware 370. Thepresent invention is not limited to the operations described withrespect to figure three.

Sensor Circuitry:

FIG. 4 is a signal flow diagram illustrating circuitry 400 of a sensorthat may be used in the methods and systems for extracting materials andmineral ores. Referring now to the individual system components in moredetail, there is shown a signal flow diagram of the signal conditioningelectronics and bridge circuitry. The signal conditioning electronicsincludes a signal source such as an arbitrary waveform generator 410, aninput filter stage 420, a preamplifier stage 430, a power amplifier withdifferential output 435; the balanced bridge network 440 comprises theactive coil array 330 and matched reference sensors 335, in a bridgearrangement 440 with amplification by amplifiers 445, and filteringstages by filters 450 on each of the output channels. Control of thewaveform generator 410, and amplifiers 430, 435, 445 is performed by themicrocontroller 460 using user-defined values sent from an industriallyhardened computer 470. The frequencies generated by the signalgenerator, such as the arbitrary waveform generator 410, are decided inadvance based on initial calibration described above. For example, theore may be tested in a lab or field prior to beginning the sortingprocess to determine responses. The signal generator may be programmedby the user to generate the particular frequencies to which the ore ofinterest has shown the greatest response. Pre-determining thefrequencies to be applied and the expected responses enables the sortingprocess to be selective, allowing the system to analyze a great amountof material in a short amount of time.

The microcontroller 460 instructs the waveform generator 410, (which maybe an arbitrary waveform generator) and the resulting output forms thebasis of the sensor input signal. The input filter 420 is a low-passfilter with a cutoff frequency greater than the highest frequencycomponent of the input signal. The filter is used to smooth thegenerated signal and remove spectral images produced by the waveformgenerator 410. The preamplifier stage 430 sets the signal level appliedto the bridge network 440. The preamplifier gain is determined by avalue sent from the industrially hardened computer 470 to themicrocontroller 460. The differential outputs of the power amplifier 435are used as the driving current to excite the bridge network 440,providing balanced positive and negative signals. The power amplifier435 can be shut down by the microcontroller 460 based on a controlsignal from the industrially hardened computer 470.

The implemented bridge network 440 is a modified Wheatstone bridge usedto measure impedance differences between bridge components in the formof a voltage signal. The bridge is modified to allow for an array ofmatching sensors balanced by a single reference sensor. Variations ofthe Wheatstone bridge, and other bridge networks, provide equivalentmethods of detecting impedance differences, and as such, the inventionis not limited to one specific bridge network arrangement.

In an ideal rest state with sample present, the bridge network 440 isperfectly balanced, and no voltage is seen across the bridge. Errortolerances in real components create an inherent imbalance in the bridgenetwork 440, producing an unbalanced voltage signal even in the reststate. The ambient environment also affects the bridge balance, suchthat the rest state unbalanced voltage of a given sensor system maydiffer between operating locations. The industrially hardened computer470 calibrates the system by interpreting this rest state signal as abaseline response against which successive readings are measured.

Since the bridge network 440 can be driven by a direct current oralternating current signal, the unbalanced voltage signal is measurablein magnitude alone, or in magnitude and phase with respect to the inputsignal. Output signals are a reference of the input signal and theunbalanced signal from the bridge network 440. The output signals passthrough differential amplifiers 445 for common mode rejection of anyinduced circuit noise. Low pass anti-aliasing filters 450 remove highfrequency noise from the signals to prevent analog-to-digital conversionerrors. Variable gain buffer stages 480 controlled via themicrocontroller 460 condition the signals for driving the analog todigital converter 490. The analog to digital converter captures thereference and unbalanced signals from each of the sensors in the bridgenetwork, and performs Fast Fourier Transform operations to extract andanalyze spectral information from these signals. From this informationthe quantity of conductive and magnetic material in the sample iscalculated. The response of the system to samples of known conductive ormagnetic content has been determined as previously described in 0044.The actual content of metallic material as measured by chemical assay isthen correlated to the spectral output of the sensors. The actualcontent of similar material passing over the sensors can then bedetermined directly by the system. Thus, the measurements may beconverted to ore grade values by using the correlations determinedearlier by assay/testing. Additional improvements in processing allowfor the necessary calculations to be performed more quickly than inprior art systems. Additional improvements in processing allow for thenecessary calculations to be performed more accurately than in prior artsystems. Due to the selective nature of the sorting and processingspeed, a great amount of material can be analyzed in a short amount oftime to thereby grade ore in a more commercially valuable manner. Otherequivalent arrangements are easily conceivable, and the invention is notlimited to the arrangement described above.

Coil Arrangements for an HFEMS Sensor:

FIG. 5 illustrates a coil and coil housing that may be used in methodsand systems for extracting materials. The present invention is notlimited to the arrangement shown in FIG. 5. In some embodiments, thecoil and coil housing are components of the electromagnetic sensorsystem discussed above. The coil 510 rests in a polycarbonate base 520with a circular groove 530 routed around a center boss 540. The coil 510is produced by feeding one end of a wire though a cable hole 550 in theside of the base 520 and wound in alternating layers from the outer edgeof the groove 530 inward to the boss 540, then outward from the boss 540to the outer edge of the groove 530. The free ends of the coil 510 exitthe base through the cable hole 550, and terminate at a connector 560mounted on the base. Electrostatic shields 570 are placed above andbelow the coil 510 to bound the field extents and limit electromagneticinterference. The entire sensor coil and base is enclosed in apolycarbonate housing 580. In the shovel-bucket embodiment, such as inFIG. 8, the coils may be housed inside cast blocks of ultra-highmolecular-weight polyethylene for impact and wear resistance whenexposed to hard and abrasive mineral streams. While impact and wearresistant, the coils are designed to match the impact and wearresistance of the surrounding bucket environment and enjoy similarreplacement intervals to surrounding materials. Further, the specificarrangement of the sensors in the bucket within and among the wearmaterials in the bucket allows for protection of and therefore use ofsensitive coil arrangements in the high impact and wear environment ofthe shovel bucket. Further, the specific size and orientation of thesensors is unique to the particular bucket, and determined by thedesired coverage of the shovel bucket volume by the combined fields ofthe coils in the array. Coils are an order of magnitude more compactthan in prior art systems, and the implementation of this coil type witharbitrary waveform excitation in the induction-balance arrangement is adeparture from prior art systems.

FIG. 6 illustrates a plan and section view of coil array and coil arrayhousing that may be used in methods and systems for extracting materialsusing HFEMS in the sorting embodiment. Each coil array includes multiplecoils per a single bridge. In some embodiments, the arrangement of coilarray and coil housing shown 600 is used in an electromagnetic sensorsystem, such as the electromagnetic sensor system described above. FIG.6 includes a plan and section view 600 of the coil arrays 330 and bridgeelectronics 440 in the coil array housing.

Multiple coils rest in a top plate 610 with circular grooves 615 routedaround a center boss 620 to house the coil conductors. The coils arearranged in arrays 625 Multiple arrays 625 are possible in anyembodiment, in this case six. The top plate is mounted on a chassis 630with interior ribs 635 for coil support and electrostatic shielding. Thefree ends of the coils 640 exit the base through the cable hole 645, andterminate at the localized bridge board 650 mounted in the chassis. Onereference sensor 655 is required per localized bridge 650, and ismounted vertically in the toe of the interior rib 635. The free end ofthe reference sensor exits through the base hole 660 and terminates atthe localized bridge board 650 mounted in the chassis. Amplified signalsfrom all the coils 640 in an array 625 connected to the localized bridgeboard 650 are transmitted to the terminal block 665 via 22-conductorbundled shielded conductor cable 670. Similarly, signals from coilarrays 625 connected to other bridge boards 650 are transmitted to theterminal block 665 via 22-conductor bundled shielded conductor cables670. Thus, cables may be used to separate the coils from the bridge. Thecables may be armored and shielded signal cables, allowing placement ofthe sensors in harsh environments. In one embodiment, up to 6 localizedbridge boards 650 are contained in the coil array housing 630, allowingfor 6 sensor arrays 625 to be used. Source signals from a signalgenerator such as signal generator 410 are delivered to each board inparallel via signal cables 675. Power is delivered to each localizedbridge board in parallel via a power cable 680. Other equivalentarrangements are easily conceivable, and the present invention is notlimited to the described arrangement. For instance, there may be anynumber of sensor coils in each local arrangement. They may be encased ina variety of materials. The wires may vary in conductance, and in theirmaterials. The arrangement of previously described compact coils in anarray and in the induction-balance configuration, is a significantimprovement on prior art embodiments.

The sensor can be arranged in many different ways, and the sensors maybe scaled to any relevant size appropriate for the duty. For example,the sensors may be scaled to perform electromagnetic spectroscopydepending on the particular sample size. For example, the sensors forapproximately 1 millimeter samples may be about 1 millimeter indiameter, and the sensors for approximately 12.5 millimeters may beapproximately 12.5 millimeters. FIG. 12 illustrates another view of asuitable coil array arrangement.

The HFEMS sensors described are both inexpensive and durable. Due to theharsh environment the sensors are exposed to, durability is a desiredfeature of sensors. Although durable, the HFEMS sensors will requirereplacement at some point, so naturally, economics are a considerationas well. In a preferred embodiment, the lifetime of the sensorcorresponds with the maintenance schedule of the device with which thesensor is interconnected. In the systems described herein, the sensorscollect information, but do little or no processing of the informationcollected. The processing and analytics of the information takes placeaway from the sensors, and the related processing equipment is notsubjected to the harsh environment to which the sensor is subjected.Thus the sensors may be designed to be “consumable goods”. Thus, asensor may be formed on, or within grooves of, first, replaceablesubstrate, such as a metal plate, with a second, protective surface orablative plate formed over the first substrate. Any manner of mechanicalfasteners may be used to secure the sensor(s) to a bucket, such assimply a threaded bolt with corresponding nut.

Control Electronics and Digital Signal Processing System:

FIG. 7 is a diagram of the control electronics and digital signalprocessing system enclosure that may be used in methods and systems forextracting materials. In some embodiments, the control electronics anddigital signal processing system is used in an electromagnetic sensingsystem, such as the system discussed above. Referring now to theindividual system components in more detail, in FIG. 7 there is shown aview of the control enclosure 700, containing the signal generationelectronics 710 and the industrially hardened computer 720. 110V or 220Vpower as the case may be is delivered to each of the power supplies 725,730 in the control enclosure via main cable 735. Power at 10V from thesensor power supply 725 is delivered to the signal generator boards inthe signal generator electronics 710 in parallel via a DC power cable740. Power at 10V from the sensor power supply 725 is also delivered tothe localized bridge boards 650 via 22-conductor bundled shieldedconductor cable 745. Source signals from the signal generators 440 aredelivered in parallel to the localized bridge boards 650 in the sensorblock via a 22-conductor bundled shielded conductor cable 750. Power at10V from the digital computing power supply 730 is delivered to theindustrially hardened computer 720 in parallel via DC power cable 780.The signal generator function of the signal generators 440 is controlledby the user via the industrially hardened computer 720.

Active signals from the localized bridge boards 650 are delivered to theanalog to digital converter 760 inside the industrially hardenedcomputer 720 via 22-conductor bundled shielded conductor cable 755.Active signals from each localized bridge board 650 transmitted viacable 785 are processed by Fast Fourier Transform by the analog todigital converter 760 and transmitted to the industrially hardenedcomputer 720. The resulting metallic content of particles within thesensor field is calculated by the computer software 765. Metalliccontent thus calculated for particles within the field of sensors iscompared to a user-defined reference value stored in the software inorder to make a sort decision. Metallic content below the referencevalue of sensor n results in a sort signal that is different from thesort signal generated for metallic content above the reference value.The sort signal generated for sensor n is transmitted from theindustrially hardened computer 720 to the multiport switch 770 via cable775. In some embodiments, an open platform digital communicationsprotocol (UDP or industrial TCP/IP, for instance) is used for datatransmission and sensor control, which may be less costly to implementand maintain. In other embodiments, proprietary industrial protocolssuch as ModBus or Profibus may be used. Other equivalent arrangementsare easily conceivable, and the present invention is not limited to thedescribed arrangement.

Sensor-Based Sorting Apparatuses and Systems:

FIGS. 8-11 illustrate various apparatuses and systems in which sensorsmay be used. As discussed above, various types of sensors may be used,such as the HFEMS sensors. In various applications, such as the belowexamples, there need not be any electromagnetic difference between theHFEMS coils. However, the protective substrate, cover or liner materialsmay be different based on the particular application, with a view tosynchronizing the replacement of these consumable materials with themaintenance schedule of the device to which they are connected. Thissynchronization minimizes costs as well as providing other benefits.

FIG. 8 illustrates one embodiment of a hydraulic mining shovel apparatusthat may be used in methods and systems for extracting materials andmineral ores. FIG. 8 illustrates a typical hydraulic mining shovelarrangement indicating the installation of the sensors in the bucket,the control enclosure mounted on the hydraulic arm, and the industriallyhardened computer, analog to digital converter and data/control signaloutput hardware mounted in the operator's cabin of the mining shovel. Insome embodiments, only the sensors are interconnected to the bucket andthe remaining equipment is communicably connected with the bucket, butnot physically connected with the bucket or the mining shovel. A“bucket” such as element 810 in FIG. 8 includes, but is not limited to,rail cars, or any other container for hauling ore from a mine to, orbetween processes. In some embodiments, the bucket may be a part of themagnetic circuit created by the sensor coil. Thus, in some embodiments,the shovel is or becomes the sensor, or part of the sensor.

Referring now to the implementation of the system, in FIG. 8 there isshown an isometric view of a typical hydraulic mining shovel, with anarrangement indicating the installation of the sensors in the bucket,the control enclosure mounted on the hydraulic arm, and the industriallyhardened computer, analog to digital converter, a decision supportsystem which may include a human/machine interface for decision supportand data/control signal output hardware mounted in the operator's cabinof the mining shovel. The mining shovel bucket 810 houses the sensingcoils 815 in a tiled, opposed arrangement. The specific arrangement ofthe sensors in the bucket within and among the wear materials in thebucket allows for protection of and therefore use of sensitive coilarrangements in the high impact and wear environment of the shovelbucket. Further, the specific size and orientation of the sensors isunique to the particular bucket, and determined by the desired coverageof the shovel bucket volume by the combined fields of the coils in thearray. The sensing coils 815 are connected via a cable 820 to thecontrol enclosure 830 mounted on the boom of the shovel.

The control enclosure 830 comprises the arbitrary waveform generator,the bridge network and signal conditioning electronics, and a referencesensor. The control enclosure 830 is connected to the analog to digitalconverter and the industrially hardened computer 835, mounted in theoperator's cabin by a cable 840. The decision support system 845 may bea user interface in the operator's cabin of mining shovel 800 andconnected to the industrially hardened computer 835 via a cable 850. Inalternative embodiments, decision support system 845 may be a userinterface on a computer in an office at a mine or ore processingfacility or an automated facility that sorts minerals by, for example,dumping rail cars into different piles or otherwise sorting differentgrades of ore. Materials or mineral ores with an elemental content abovethat of a pre-determined cutoff are detected by the sensor array. Thepresence of mineral ores of higher grade than the arbitrary cutoff isdetected by the sensor array and the results are reported to theindustrially hardened computer. In cases where diversion by means of theshovel or other embodiment such as a diverter on the belt conveyor isautonomous, diversion is automatically effected. In some embodiments,such as where diversion is to be effected by the shovel operator,instructions as to the destiny of the mineral ore sample in the bucketare given to the operator by the decision support system. Rejectmaterial below an arbitrary cutoff is identified by a numerical readoutof the chemistry values and/or a color indicator (e.g., ‘RED’)indicating action to reject the material is to be taken. Low grade orebetween arbitrary cutoffs is identified by a numerical readout of thechemistry values and/or a color indicator (e.g., ‘BLUE’) indicatingaction to divert the material to a second stage of treatment is to betaken. High grade ore above an arbitrary cutoff is identified by anumerical readout of the chemistry values as well as a color indicator(e.g., ‘GREEN’) indicating action to divert the material to a finaltreatment stage is to be taken. In some embodiments, only a colorindicating an action is displayed. This simple binary informationsignals the operator of the shovel to place the contents of the currentload in either the ACCEPT or REJECT stream, as appropriate.Alternatively, the display could provide a numerical or graphicalindication of the actual average ore grade currently in the shovel, sothat the operator of the shovel could make finer-grained decisions basedon this information. The data/control signal output hardware 855 ismounted on the operator's cabin and connected to the industriallyhardened computer 835 by a cable 860. Variations of the particularmining shovel provide equivalent methods of mounting the invention, andas such, the invention is not limited to one specific arrangement ofmining shovel. Sensors thus emplaced can simply be used for telemetryalone, i.e., the provision of information as to chemical content of thematerials or mineral ores. Sensors thus emplaced can also be used fordecision support, i.e., the provision of information to supportdecisions to further treat or not to treat the material at all. Sensorsthus emplaced can, in conjunction with a diversion system previouslydescribed, or by providing decision support to the operator aspreviously described, be used to sort the material or mineral ore byrejecting gangue constituents of low metallic content from the mineralore stream either individually or in batches.

FIG. 9 illustrates one embodiment of a conveyor belt system 900 that maybe used in methods and systems for extracting materials and mineralores. FIG. 9 includes a control enclosure, electromagnetic sensors andsensor mounting chassis as mounted on a conveyor belt that may be usedin sorting minerals. Referring now to the implementation of the system,in FIG. 9, an isometric view of the control enclosure 940,electromagnetic sensors 920 and sensor mounting chassis 910 as mountedunder a conveyor belt. The sensor mounting chassis 910 carries theactive sensors 920 and reference sensors 930 and the control enclosure940. The control enclosure 940 comprises the waveform generator 950, thebridge network and signal conditioning electronics 960. Controlenclosure 940 may also include the analog to digital converter, theindustrially hardened computer, and the data and control output module.The sensor mounting chassis 910 is placed under the belt of a beltconveyor (not shown for clarity). Variations of the particular conveyorbelt provide equivalent methods of mounting the invention, and as such,the invention is not limited to one specific arrangement of a beltconveyor system. Variations of the particular belt or other conveyanceprovide equivalent methods of mounting the invention, and as such, theinvention is not limited to one specific arrangement of conveyor.Sensors thus emplaced can simply be used for telemetry alone, i.e., theprovision of information as to chemical content of the materials ormineral ores. Sensors thus emplaced can also be used for decisionsupport, i.e., the provision of information to support decisions tofurther treat or not to treat the material at all. Sensors thus emplacedcan, in conjunction with a diversion system previously described, or byproviding decision support to the operator as previously described, beused to sort the material or mineral ore by rejecting gangueconstituents of low metallic content from the mineral ore stream eitherindividually or in batches.

FIG. 10 illustrates an embodiment of a sorting system that may be usedin methods and systems for extracting minerals. FIG. 10 includes a feedsystem 1010, control enclosure 1040, sensor mounting chassis 1030 withelectromagnetic sensors 1032, reference sensor 1034, and samplerejection mechanism 1050 as mounted for example on a conveyor belt. Thefeed system 1010 contains the sample-set to be sorted and introduces themineral sample individually onto the sensors 1032 in a controlledfashion. The sensor mounting chassis 1030 carries the active sensingcoils 1032, reference sensor 1034 and the control enclosure 1040. Thecoils 1032 and 1034 are connected to the control enclosure 1040 by acable 1036. The control enclosure 1040 comprises the waveform generator,the bridge network and signal electronics, the analog to digitalconverter, the industrially hardened computer, and the data and controloutput module. The control enclosure is connected to the samplerejection mechanism 1050 by means of a cable 1065. The sample rejectionmechanism comprises an accept mechanism 1055 to accept a sample and areject mechanism 1060 to reject a sample. The control enclosuretransmits data from the electromagnetic sorter to other devices via acable 1070. The electromagnetic sorter is placed, for example, under thebelt of a belt conveyor. The response of the system to samples of knownconductive or magnetic content has been determined as previouslydescribed. The actual content of metallic material as measured bychemical assay/testing is then correlated to the spectral output of thesensors. The actual content of similar material passing over the sensorscan then be determined directly by the system and accepted or rejectedaccordingly. Variations of the particular methods of conveying provideequivalent methods of mounting the invention, and as such, the inventionis not limited to one specific arrangement of conveyor.

FIG. 11 illustrates an embodiment of a sorting system that may be usedin methods and systems for extracting materials. The sorting system 1100uses a multi-sensor array installed together with a multi-channeldiversion system for the rejection of individual particles of lowmetallic content. More particularly, sorting system 1100 includes a feedsystem 1110, feed arrangement 1130, sensor mounting chassis withelectromagnetic sensors 1120, industrially hardened computer 1135, cable1150, transport mechanism 1155, and sample reject diversion mechanism1145. In operation, samples of conductive or magnetic material eitherindividually, or in batch mode are loaded into feed system 1110. Thesamples are exposed to the sensing coil array 1120 by the feedarrangement 1130. Electric currents are induced in conductive materialpassing through the sensing coil fields. These currents generatemagnetic fields in respect of the conductive material, which in turngenerate counter-currents in the coil, changing the impedance of thecoil-conductor system as seen across the coil. Magnetic material passingthrough or present within the sensor field alters the impedance of thecoil, altering the current passing through the coil. The change inimpedance of each coil in turn is read, analyzed and stored by theanalog to digital converter and industrially hardened computer 1135. Theresponse of the system to samples of known conductive or magneticcontent has been determined as previously described. The actual contentof metallic material as measured by chemical assay is then correlated tothe spectral output of the sensors. The actual content of similarmaterial passing over the sensors can then be determined directly by thesystem.

The response of each individual coil in the array to the conductive ormagnetic content in the sample is compared to a user-defined valuestored in the industrially hardened computer. For material above acertain conductive or magnetic content, an ‘accept’ signal is generatedby the industrially hardened computer. For material below a certainconductive or magnetic content, a ‘reject’ signal is generated by theindustrially hardened computer 1135. Signals from the industriallyhardened computer 1135 are transmitted to the multi-channel divertermechanism control station 1140 via cable 1150. The samples aretransported to the sample rejection diversion mechanism via transportmechanism 1155. For coil n with a ‘reject’ signal, a divert instructionis given to diverter n in the sample reject diversion mechanism 1145 andthe sample is rejected. Samples can be rejected either individually orin batch mode as the case may be. Other equivalent arrangements areeasily conceivable, and the invention is not limited to the abovedescribed arrangement.

FIG. 12 illustrates a sensor array layout that may be used in variousembodiments of the present invention. As discussed, multiple arrays ofcoils can be used, with each array having one or more sensing coils andat least one reference coil. Each individual coil may be stimulatedindividually, and each sensing coil collects information about the ore.The output of each sensor is channelized, and the channelized sensorinformation can be used to correlate a difference between the outputfrom the multiple sensors to effectively spatially separate the ore.Thus, the multiple sensor array provides a more granular output thanprior art systems, with faster processing speed than in prior systems.

CONCLUSION

As explained above, aspects of the invention can be embodied in aspecial purpose computer or data processor that is specificallyprogrammed, configured, or constructed to perform one or more of thecomputer-executable instructions explained in detail herein. Whileaspects of the invention, such as certain functions, are described asbeing performed exclusively on a single device, the invention can alsobe practiced in distributed environments where functions or modules areshared among disparate processing devices, which are linked through acommunications network, such as a Local Area Network (LAN), Wide AreaNetwork (WAN), or the Internet. In a distributed computing environment,program modules may be located in both local and remote memory storagedevices.

Aspects of the invention may be stored or distributed on tangiblecomputer-readable media, including magnetically or optically readablecomputer discs, hard-wired or preprogrammed chips (e.g., EEPROMsemiconductor chips), nanotechnology memory, biological memory, or otherdata storage media. Alternatively, computer implemented instructions,data structures, screen displays, and other data under aspects of theinvention may be distributed over the Internet or over other networks(including wireless networks), on a propagated signal on a propagationmedium (e.g., an electromagnetic wave(s), a sound wave, etc.) over aperiod of time, or they may be provided on any analog or digital network(packet switched, circuit switched, or other scheme).

Unless the context clearly requires otherwise, throughout thedescription and the claims, the words “comprise,” “comprising,” and thelike are to be construed in an inclusive sense, as opposed to anexclusive or exhaustive sense; that is to say, in the sense of“including, but not limited to.” A mining apparatus is used herein torefer to any mining equipment such as but not limited to, excavators,loaders, draglines, hydraulic shovels, electric wire-rope shovels,scooptrams, backhoes and the like. Other embodiments such as beltconveyors, belt feeders, vibrating pan feeders, apron feeders, orepasses, ore chutes, ore bins, and ore sorting machines are alsopossible.

As used herein, the terms “connected,” “coupled,” or any variant thereofmeans any connection or coupling, either direct or indirect, between twoor more elements; the coupling or connection between the elements can bephysical, logical, or a combination thereof. As used herein,“substantially in real time” refers to the amount of time a computingdevice takes to exchange electrical communications and/or process and/orcompute data. Additionally, the words “herein,” “above,” “below,” andwords of similar import, when used in this application, refer to thisapplication as a whole and not to any particular portions of thisapplication. Where the context permits, words in the above DetailedDescription using the singular or plural number may also include theplural or singular number respectively. The word “or,” in reference to alist of two or more items, covers all of the following interpretationsof the word: any of the items in the list, all of the items in the list,and any combination of the items in the list.

The above Detailed Description of examples of the invention is notintended to be exhaustive or to limit the invention to the precise formdisclosed above. While specific examples for the invention are describedabove for illustrative purposes, various equivalent modifications arepossible within the scope of the invention, as those skilled in therelevant art will recognize. For example, while processes or blocks arepresented in a given order, alternative implementations may performroutines having steps, or employ systems having blocks, in a differentorder, and some processes or blocks may be deleted, moved, added,subdivided, combined, and/or modified to provide alternative orsubcombinations. Each of these processes or blocks may be implemented ina variety of different ways. Also, while processes or blocks are attimes shown as being performed in series, these processes or blocks mayinstead be performed or implemented in parallel, or may be performed atdifferent times. Further any specific numbers noted herein are onlyexamples: alternative implementations may employ differing values orranges.

The teachings of the invention provided herein can be applied to othersystems, not necessarily the system described above. The elements andacts of the various examples described above can be combined to providefurther implementations of the invention. Some alternativeimplementations of the invention may include not only additionalelements to those implementations noted above, but also may includefewer elements.

Any patents and applications and other references noted above, includingany that may be listed in accompanying filing papers, are incorporatedherein by reference. Aspects of the invention can be modified, ifnecessary, to employ the systems, functions, and concepts of the variousreferences described above to provide yet further implementations of theinvention.

These and other changes can be made to the invention in light of theabove Detailed Description. While the above description describescertain examples of the invention, and describes the best modecontemplated, no matter how detailed the above appears in text, theinvention can be practiced in many ways. Details of the system may varyconsiderably in its specific implementation, while still beingencompassed by the invention disclosed herein. As noted above,particular terminology used when describing certain features or aspectsof the invention should not be taken to imply that the terminology isbeing redefined herein to be restricted to any specific characteristics,features, or aspects of the invention with which that terminology isassociated. In general, the terms used in the following claims shouldnot be construed to limit the invention to the specific examplesdisclosed in the specification, unless the above Detailed Descriptionsection explicitly defines such terms. Accordingly, the actual scope ofthe invention encompasses not only the disclosed examples, but also allequivalent ways of practicing or implementing the invention under theclaims.

To reduce the number of claims, certain aspects of the invention arepresented below in certain claim forms, but the applicant contemplatesthe various aspects of the invention in any number of claim forms. Forexample, while only one aspect of the invention is recited as ameans-plus-function claim under 35 U.S.C §112, sixth paragraph, otheraspects may likewise be embodied as a means-plus-function claim, or inother forms, such as being embodied in a computer-readable medium. (Anyclaims intended to be treated under 35 U.S.C. §112, ¶6 will begin withthe words “means for”, but use of the term “for” in any other context isnot intended to invoke treatment under 35 U.S.C. §112, 6.) Accordingly,the applicant reserves the right to pursue additional claims afterfiling this application to pursue such additional claim forms, in eitherthis application or in a continuing application.

I/We claim:
 1. A mining apparatus comprising: a chassis; an articulablearm operably coupled to the chassis; a bucket rotatably connected to thearm and defining an interior cavity, wherein the bucket is configured toreceive ore comprising one or more minerals; an electromagnetic sensorsystem associated with the bucket for collecting data related to theore, wherein the electromagnetic sensor system comprises at least oneactive sensor coupled to the bucket, and wherein the electromagneticsensor system is configured to: generate source signals, apply thesource signals to the at least one active sensor, and collect a responseto the source signals from the at least one active sensor in thepresence of the ore, wherein the response comprises a desired response;and a data analysis system communicatively coupled to theelectromagnetic sensor system and configured to: compare the response ofthe at least one active sensor in the presence of the ore to theresponse of at least one reference sensor not in the presence of theore, and analyze the data to determine a content of the one or moreminerals in the ore; and a decision support system coupled to the dataanalysis system configured to provide an output related to sorting andprocessing ore in response to the content of the one or more minerals.2. The mining apparatus of claim 1, wherein the decision support systemcomprises a user interface, wherein the mining apparatus is a miningvehicle, and wherein the mining apparatus further comprises an operatorcabin connected to an upper side of the chassis and receiving the userinterface.
 3. The mining apparatus of claim 1, wherein each of the atleast one active sensors in an array comprises: a coil wound from signalwire, an upper electrostatic shield, a lower electrostatic shield, amolded casing, and a shielded signal cable connecting the coil to abridge network.
 4. The mining apparatus of claim 1, wherein each of theat least one reference sensors comprises: a coil wound from signal wire,an upper electrostatic shield, a lower electrostatic shield, a moldedcasing, and a shielded signal cable connecting the coil to a bridgenetwork.
 5. The mining apparatus of claim 1, wherein the decisionsupport system comprises a user interface, and wherein the userinterface is further configured to display a recommended action based onthe content of the one or more minerals.
 6. The mining apparatus ofclaim 1, wherein the content of the one or more minerals comprises atleast one of: composition, grade, conductivity, or magneticsusceptibility, and wherein the data analysis system is furtherconfigured to: compare the data with previously recorded data associatedwith minerals of known content, and determine the content of the one ormore minerals based on the comparison.
 7. The mining apparatus of claim1, wherein the source signals are generated using an arbitrary waveformgenerator, wherein the electromagnetic sensor system is furtherconfigured to: apply the source signals to the at least one referencesensor, and collect a response to the source signals from the at leastone reference sensor, wherein the response to the source signalscomprises impedance, and wherein the impedance of the at least oneactive sensor is compared to the impedance of the at least one referencesensor.
 8. The mining apparatus of claim 6, wherein the data analysissystem is further configured to: calculate an impedance value based on adifference between the impedance of the at least one active sensor andthe impedance of the at least one reference sensor; and calculate avalue representing a quantity of conductive and magnetic material in theore based on the impedance value.
 9. The mining apparatus of claim 1,wherein the sensor system is coupled to a computing device disposedwithin the operator's cabin, and wherein the electromagnetic sensorsystem is controlled by the computing device.
 10. The mining apparatusof claim 1, wherein the bucket comprises a first sidewall and a secondsidewall wherein the at least active sensor comprises a plurality ofactive sensors, wherein at least one active sensor is coupled to thefirst sidewall and at least one active sensor is coupled to the secondsidewall.
 11. A method of analyzing minerals received within a miningbucket, comprising: collecting data associated with ore received in thebucket; wherein the ore includes one or more mineral, wherein the bucketincludes at least one active sensor; wherein the ore is within a fieldof the at least one active sensor, and wherein collecting dataassociated with the ores comprises: generating source signals, applyingthe source signals to the at least one active sensor, collecting aresponse to the source signals from the at least one active sensor,wherein the response comprises a desired response, and comparing theresponse of the at least one active sensor with a reference orthreshold; determining a content of the one or more mineral using thedata, transmitting information relating to the content of the one ormore mineral to a decision support system; and sorting or processing theore based on an output of the decision support system in response to thetransmitted information relating to the content of the one or moreminerals.
 12. The method of claim 11, wherein the decision supportsystem comprises a user interface, and wherein the method furthercomprises: determining a recommended action based on the content of theminerals, and displaying the recommended action on the user interface.13. The method of claim 11, wherein the content of the one or moreminerals comprises at least one of: composition, grade, conductivity, ormagnetic susceptibility.
 14. The method of claim 11, wherein the signalsource is an arbitrary waveform generator, and wherein the methodfurther comprises controlling the waveform generator using a computingdevice disposed within an operator cabin of a mining apparatus.
 15. Themethod of claim 11, wherein determining a content of the one or moreminerals comprises: performing spectral analysis on the data, comparingthe data with previously recorded data associated with minerals of knowncontent, and determining the content of the one or more minerals basedon the comparison.
 16. The method of claim 11, wherein collecting dataassociated with the ores further comprises: applying the source signalsto at least one reference sensor, collecting a response to the sourcesignals from the at least one reference sensor, wherein the response tothe source signals comprises impedance, and wherein the referencecomprises the impedance of the at least one reference sensor.
 17. Themethod of claim 11, wherein the decision support system comprises a userinterface, wherein the method further comprises: displaying theinformation relating to the content of the minerals on the userinterface.
 18. The method of claim 11, wherein the content of theminerals is determined in substantially real-time.
 19. A replaceablesensor for detecting mineral in ore comprising: at least one sensingcoil; at least one reference coil; at least one substrate to carry theat least one coil, wherein the substrate configured to beremovably-secured to a bucket wherein the bucket is sized to carry ore,wherein the sensor is configured to provide a response in response toreceiving a waveform signal, and wherein the sensor is configured toproduce a signal indicative of the content of the minerals in the ore inthe bucket.
 20. A method of extracting materials, comprising: collectingmineral ore; classifying the mineral ores into a first group, a secondgroup, and a waste group based on a grade of the mineral ore, whereinthe first group has a higher grade than the second group, wherein thesecond group has a higher grade than the waste group; preparing each ofthe first group and the second group for sorting, wherein the preparingcomprises separating, based on particle size, the first group and thesecond group into first subgroups and second subgroups, wherein thefirst subgroups have a smaller size particle size than the secondsubgroups, wherein the preparing further comprises coarse crushing andwet size classification; diverting the first subgroup of the first groupand the first subgroup of the second group into a final product group;sorting the second subgroup of the first group into a first sub-subgroupand a second sub-subgroup based on grade, wherein the first sub-subgroupof the second subgroup of the first group has a higher grade than thesecond sub-subgroup of the second subgroup of the first group; divertingthe first sub-subgroup of the second subgroup of the first group intothe final product group; combining the second sub-subgroup of the secondsubgroup of the first group with the second subgroup of the second groupto form a combined group; sorting the combined group into a first groupand a second group based on grade, wherein the first group has a highergrade than the second group; diverting the first group of the combinedgroup into the final product group; and diverting the second group ofthe combined group into the waste group.